Types Of Volatility

Volatility is one of the most important concepts in options trading because it determines the expected magnitude of price movements in the underlying asset. While the previous chapter explained what volatility is and why it plays a vital role in option pricing, it is equally important to understand that volatility is not measured in a single way. In financial markets, volatility is broadly classified into Historical Volatility (HV) and Implied Volatility (IV). Each serves a different purpose, and together they help traders evaluate market behaviour and make informed trading decisions.

Core Concepts & Foundational Principles

Historical Volatility

On the other hand, if another stock has traded steadily between ₹995 and ₹1,005 during the same period, its Historical Volatility would be comparatively low because its price movements have remained relatively stable.

Historical Volatility provides valuable information about the behaviour of an asset over previous trading sessions. It allows traders to evaluate whether the current level of price movement is unusually high or unusually low compared with its historical behaviour.

Practical Takeaways & Action Rules

• *Historical Volatility (HV)measures the actual price fluctuations of an underlying asset over a specified period using historical market data. It is calculated by analysing the stock's past returns and determining the standard deviation of those returns. In simple terms, Historical Volatility tells tradershow much the asset has moved in the past.
• For example, suppose a stock has traded between ₹950 and ₹1,050 over the last month, with frequent and large daily price swings. In this situation, the stock would exhibit relatively high Historical Volatility.
• However, Historical Volatility has one important limitation.
• Since it is based entirely on past price movements, it cannot predict future volatility with certainty.

Key Mechanics & Frameworks

These expectations are incorporated into option pricing models, allowing traders to estimate the implied level of future volatility.

Practical Takeaways & Action Rules

• For example, suppose a company is scheduled to announce its quarterly earnings next week.
• Although the stock price may currently be stable, traders expect that the earnings announcement could produce a significant price movement.
• As a result, demand for options increases, causing option premiums to rise.
• This increase in option premiums results in higher Implied Volatility, even before the actual price movement occurs.

Strategic Implementation & Real-World Application

Comparing Historical Volatility And Implied Volatility

Key Pillars & Critical Distinctions

Practical Takeaways & Action Rules

• Although both measures describe volatility, they answer different questions.
• *"How much has the stock moved in the past?"
• *"How much does the market expect the stock to move in the future?"
• Professional traders often compare these two measures before entering an option trade.

Advanced Insights & Long-Term Execution

Understanding the difference between Historical Volatility and Implied Volatility helps traders avoid relying solely on price direction.

Ultimately, Types Of Volatility introduces the two primary methods used to measure market volatility. Historical Volatility measures actual price fluctuations observed in the past, while Implied Volatility represents the market's expectation of future price movements based on current option premiums. Although both are valuable, they serve different purposes and complement each other in options analysis. By understanding these two types of volatility, traders can interpret option premiums more accurately, select appropriate trading strategies, and make better-informed decisions under changing market conditions.

Practical Takeaways & Action Rules

• A trader may correctly predict whether the market will rise or fall but still experience disappointing results if volatility behaves differently than expected.
• For example, purchasing options when Implied Volatility is already extremely high may result in losses if volatility declines sharply after an expected market event.
• Similarly, selling options during periods of unusually low Implied Volatility may expose traders to unexpected losses if future volatility increases significantly.
• Professional traders therefore analyse both Historical Volatility and Implied Volatility before selecting option strategies.